一个基于治疗后纵向预后营养指数的联合模型,用于预测鼻癌的生存率
Po-Wen Hsiao1, Yu-Ming Wang2,3, Shao-Chun Wu4,5
1Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospita, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.
Cancers
|March 13, 2024
概括
随着时间的推移,追踪预后营养指数 (PNI) 的变化可以改善鼻癌 (NPC) 患者的生存预测. 建议定期进行PNI测量,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 临床研究 临床研究
背景情况:
- 低预后营养指数 (PNI) 与鼻癌 (NPC) 患者的生存率差有关.
- 之前的研究主要使用单一时间点PNI测量.
- 需要进行纵向PNI数据分析,以更好地了解其预后价值.
研究的目的:
- 利用联合建模来分析从NPC患者的常规访问中获得的纵向PNI数据.
- 在NPC中探索纵向PNI和整体存活率之间的关系.
- 评估动态PNI变化的预后值.
主要方法:
- 使用长光研究数据库 (2007-2019) 的回顾性研究.
- 包括正在接受治愈治疗的NPC患者.
- 应用一个结合纵向和时间到事件子模型的联合模型来分析PNI和生存率.
主要成果:
- 纵向PNI独立预测降低死亡风险 (调整HR为0.813).
- 联合建模证实PNI作为一个一致的生存预测指标 (HR 0.864).
- 低于38.1的PNI显著增加了90天死亡风险 (90.0%的灵敏度,89.6%的特异性).
结论:
- 纵向PNI数据是NPC患者整体存活时间的独立预测指标.
- 在诊所访问期间的PNI测量可以显著预测90天生存结果.
- 对于NPC患者,建议进行常规PNI评估.
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